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Data Labellers • Visualising AI



Data Labellers x Ariel Lu
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Data labelling makes data usable to train AI, but the human labour behind it is often undervalued. Ethics research sheds light on the human involvement in AI and the importance of ethical data labour.




Work-in-progress




About Visualising AI
Visualising AI aims to open up conversations around AI. By commissioning a wide range of artists to create open-source imagery, the project seeks to make AI more accessible. It explores the roles and responsibilities of the technology, weighing up concerns and societal benefits in a highly original collection of artist works. 

The ongoing project invites cutting-edge artists to spend time with scientists, engineers, researchers, ethicists and more, discussing key themes in AI, before using those conversations as a catalyst to create new artworks. Crucially, each artist is given complete creative freedom, explicitly briefed to interpret the shared knowledge in whichever way they choose.


Data Labellers • Visualising AI
Published:

Data Labellers • Visualising AI

Visualising AI invites artists to contribute to the growing open-source collection. The commissioned artworks provide a glimpse into various topi Read More

Published: